Time-awake click model / (Record no. 3856)

MARC details
000 -LEADER
fixed length control field 02630nab a22002777a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250205040358.0
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fixed length control field 250205b |||q||p| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1046-8188
040 ## - CATALOGING SOURCE
Transcribing agency JMCFI - Learning Resource Center
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number Per. 005.3'050 As849 2017 No.3/ V35
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Yiqun
9 (RLIN) 9834
245 ## - TITLE STATEMENT
Title Time-awake click model /
Statement of responsibility, etc. Yiqun Liu [and five others].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York, NY :
Name of publisher, distributor, etc. Association for Computing Machinery,
Date of publication, distribution, etc. 2017.
300 ## - PHYSICAL DESCRIPTION
Extent volume 35, number 3, 16:1 - 16:14 pages
490 ## - SERIES STATEMENT
Series statement ACM transaction on information systems.
Volume/sequential designation volume 35.
520 ## - SUMMARY, ETC.
Summary, etc. Abstract : Click-through information is considered as a valuable source of users' implicit relevance feedback for commercial search engines. As existing studies have shown that the search result position in a search engine result page (SERP) has a very strong influence on users' examination behavior, most existing click models are position based, assuming that users examine results from top to bottom in a linear fashion. Although these click models have been successful, most do not take temporal information into account. As many existing studies have shown, click dwell time and click sequence information are strongly correlated with users' perceived relevance and search satisfaction. Incorporating temporal information may be important to improve performance of user click models for Web searches. In this article, we investigate the problem of properly incorporating temporal information into click models. We first carry out a laboratory eye-tracking study to analyze users' examination behavior in different click sequences and find that the user common examination path among adjacent clicks is linear. Next, we analyze the user dwell time distribution in different search logs and find that we cannot simply use a click dwell time threshold (e.g., 30 seconds) to distinguish relevant/irrelevant results. Finally, we propose a novel time-aware click model (TACM), which captures the temporal information of user behavior. We compare the TACM to several existing click models using two real-world search engine logs. Experimental results show that the TACM outperforms other click models in terms of both predicting click behavior (perplexity) and estimating result relevance (NDCG).
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information systems
General subdivision Web searching and information discovery.
9 (RLIN) 9835
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Retrieval models and ranking.
9 (RLIN) 9836
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Xie, Xiaohui
9 (RLIN) 9837
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Chao
9 (RLIN) 9838
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nie, Jan-Yun
9 (RLIN) 9839
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Min
9 (RLIN) 9840
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ma, Shaoping
9 (RLIN) 9841
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Periodicals
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    Dewey Decimal Classification   In-House Use Reference LRC - College (Main) LRC - College (Main) Periodicals 02/05/2025   Per. 005.3'050 As849 2017 No.3/V35 Art00000001 02/05/2025 02/05/2025 Periodicals